A framework and implementation for data-driven trigger efficiency estimation at LHCb
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917390390919168 |
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| author | Albrecht, Johannes Gooding, James Andrew Lysenko, Maxim Mathad, Abhijit Scarabotto, Alessandro Skwarnicki, Tomasz |
| author_facet | Albrecht, Johannes Gooding, James Andrew Lysenko, Maxim Mathad, Abhijit Scarabotto, Alessandro Skwarnicki, Tomasz |
| contents | Estimations of trigger efficiencies are essential to modern particle physics analyses. A data-driven method provides a framework in which to estimate these efficiencies from the properties of reconstructed candidates, described in this paper. This paper also presents the design, implementation and performance of a software package, TriggerCalib, which provides a first centralised implementation of these calculations and can be seamlessly employed in physics analyses. Additionally, the estimation of statistical and systematic uncertainties is discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15951 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A framework and implementation for data-driven trigger efficiency estimation at LHCb Albrecht, Johannes Gooding, James Andrew Lysenko, Maxim Mathad, Abhijit Scarabotto, Alessandro Skwarnicki, Tomasz High Energy Physics - Experiment Estimations of trigger efficiencies are essential to modern particle physics analyses. A data-driven method provides a framework in which to estimate these efficiencies from the properties of reconstructed candidates, described in this paper. This paper also presents the design, implementation and performance of a software package, TriggerCalib, which provides a first centralised implementation of these calculations and can be seamlessly employed in physics analyses. Additionally, the estimation of statistical and systematic uncertainties is discussed. |
| title | A framework and implementation for data-driven trigger efficiency estimation at LHCb |
| topic | High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2505.15951 |